/**
 * Copyright 2012 Brigham Young University
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package edu.byu.nlp.cluster;

/**
 * @author rah67
 *
 */
public class BasicProbabilisticClustering extends BasicClustering implements ProbabilisticClustering {

	private final ProbabilisticModel model;
	private final double objectiveValue;
	
	public BasicProbabilisticClustering(Dataset data, int numClusters, int[] assignments, ProbabilisticModel model,
			double objectiveValue) {
		super(data, numClusters, assignments);
		this.model = model;
		this.objectiveValue = objectiveValue;
	}

	/** {@inheritDoc} */
	@Override
	public ProbabilisticModel getModel() {
			return model;
	}
	
	/** {@inheritDoc} */
	@Override
	public double getObjectiveValue() {
		return objectiveValue;
	}

	public static ProbabilisticClustering newClustering(Dataset data, int numClusters,
			Model clusteringModel, ProbabilisticModel predictiveModel, double objectiveValue) {
		return new BasicProbabilisticClustering(data, numClusters, Models.cluster(clusteringModel, data),
				predictiveModel, objectiveValue);
	}

}